Vijay Nehra

820 total citations
28 papers, 614 citations indexed

About

Vijay Nehra is a scholar working on Computer Vision and Pattern Recognition, Pollution and Artificial Intelligence. According to data from OpenAlex, Vijay Nehra has authored 28 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Pollution and 6 papers in Artificial Intelligence. Recurrent topics in Vijay Nehra's work include Face and Expression Recognition (8 papers), Energy and Environment Impacts (8 papers) and Photovoltaic Systems and Sustainability (5 papers). Vijay Nehra is often cited by papers focused on Face and Expression Recognition (8 papers), Energy and Environment Impacts (8 papers) and Photovoltaic Systems and Sustainability (5 papers). Vijay Nehra collaborates with scholars based in India, United Kingdom and United States. Vijay Nehra's co-authors include Sonal Sindhu, Sunil Luthra, Virendra P. Vishwakarma, Tripti Goel, Kiran Nehra, S. C. Malik, Sandeep Dahiya and Rajeshwar Dass and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Energy and Arabian Journal for Science and Engineering.

In The Last Decade

Vijay Nehra

26 papers receiving 594 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vijay Nehra India 8 207 133 129 101 93 28 614
Sonal Sindhu India 4 206 1.0× 116 0.9× 126 1.0× 99 1.0× 83 0.9× 8 532
Miraç Eren Türkiye 7 100 0.5× 60 0.5× 232 1.8× 81 0.8× 90 1.0× 27 521
Burak Ömer Saraçoğlu Türkiye 10 157 0.8× 251 1.9× 141 1.1× 38 0.4× 135 1.5× 36 574
Ümran Şengül Türkiye 6 96 0.5× 56 0.4× 228 1.8× 86 0.9× 88 0.9× 19 486
Seyedhadi Eslamian Shiraz Türkiye 5 94 0.5× 55 0.4× 228 1.8× 80 0.8× 88 0.9× 7 478
Ahmet Bilal Şengül Türkiye 4 93 0.4× 55 0.4× 200 1.6× 68 0.7× 88 0.9× 7 447
Buyuan Zhang China 11 120 0.6× 148 1.1× 401 3.1× 67 0.7× 220 2.4× 12 877
Xu Ruhang China 12 66 0.3× 69 0.5× 176 1.4× 160 1.6× 172 1.8× 21 630
Shuaishuai Lin China 6 64 0.3× 137 1.0× 150 1.2× 69 0.7× 236 2.5× 10 537

Countries citing papers authored by Vijay Nehra

Since Specialization
Citations

This map shows the geographic impact of Vijay Nehra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vijay Nehra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay Nehra more than expected).

Fields of papers citing papers by Vijay Nehra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vijay Nehra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vijay Nehra. The network helps show where Vijay Nehra may publish in the future.

Co-authorship network of co-authors of Vijay Nehra

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay Nehra. A scholar is included among the top collaborators of Vijay Nehra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vijay Nehra. Vijay Nehra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dass, Rajeshwar, et al.. (2025). Viability assessment of solar photovoltaic systems for dairy cattle farms in India. Next research.. 2(4). 101043–101043.
2.
Dass, Rajeshwar, et al.. (2024). Powering sustainability: A techno-economic analysis of photovoltaic systems in dairy farming. Energy Sources Part A Recovery Utilization and Environmental Effects. 46(1). 14033–14054.
3.
Nehra, Vijay, et al.. (2018). A Comparison of Feature Extraction and Dimensionality Reduction Techniques for EEG-Based BCI System. SSRN Electronic Journal. 5 indexed citations
4.
Nehra, Vijay, et al.. (2017). An Efficient Block Matching Algorithm for Fast Motion Estimation Using New Three Step Search and Tabu Search Algorithm. International Journal of Scientific Research and Management (IJSRM). 5(7). 1 indexed citations
5.
Goel, Tripti, Vijay Nehra, & Virendra P. Vishwakarma. (2017). Pose Normalization based on Kernel ELM Regression for Face Recognition. International Journal of Image Graphics and Signal Processing. 9(5). 68–75. 5 indexed citations
6.
Sindhu, Sonal, Vijay Nehra, & S. C. Malik. (2017). Reliability estimation of photovoltaic system using Markov process and dynamic programming approach. International Journal of Reliability and Safety. 11(1/2). 132–132. 2 indexed citations
7.
Nehra, Vijay, et al.. (2017). An efficient hybrid PC-SIFT-based feature extraction technique for face recognition. International Journal of Signal and Imaging Systems Engineering. 10(5). 237–237. 1 indexed citations
8.
Nehra, Vijay, et al.. (2017). An efficient hybrid PC-SIFT-based feature extraction technique for face recognition. International Journal of Signal and Imaging Systems Engineering. 10(5). 237–237. 1 indexed citations
9.
Sindhu, Sonal, Vijay Nehra, & Sunil Luthra. (2017). Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis: Case study of India. Renewable and Sustainable Energy Reviews. 73. 496–511. 247 indexed citations
10.
Goel, Tripti, Vijay Nehra, & Virendra P. Vishwakarma. (2016). An Adaptive Non-symmetric Fuzzy Activation Function-Based Extreme Learning Machines for Face Recognition. Arabian Journal for Science and Engineering. 42(2). 805–816. 10 indexed citations
11.
Sindhu, Sonal, Vijay Nehra, & Sunil Luthra. (2016). Recognition and prioritization of challenges in growth of solar energy using analytical hierarchy process: Indian outlook. Energy. 100. 332–348. 81 indexed citations
12.
Sindhu, Sonal, Vijay Nehra, & Sunil Luthra. (2016). Solar energy deployment for sustainable future of India: Hybrid SWOC-AHP analysis. Renewable and Sustainable Energy Reviews. 72. 1138–1151. 52 indexed citations
13.
Sindhu, Sonal, Vijay Nehra, & Sunil Luthra. (2016). Identification and analysis of barriers in implementation of solar energy in Indian rural sector using integrated ISM and fuzzy MICMAC approach. Renewable and Sustainable Energy Reviews. 62. 70–88. 146 indexed citations
14.
Nehra, Vijay, et al.. (2016). Classification of motor imagery EEG signals using SVM, k-NN and ANN. CSI Transactions on ICT. 4(2-4). 135–139. 6 indexed citations
15.
Goel, Tripti, Vijay Nehra, & Virendra P. Vishwakarma. (2016). An efficient classification based on genetically optimised hybrid PCA-Kernel ELM learning. 3(3). 241–241. 2 indexed citations
16.
Nehra, Vijay, et al.. (2015). Symbolic Computation of Mathematical Transforms and Its Application: A MATLAB Computational Project-Based Approach. SSRN Electronic Journal. 2 indexed citations
17.
Dahiya, Sandeep & Vijay Nehra. (2015). Ensuring Employment and Employability through Electronics Engineering Education: A Case Study of BPS Women University. International Journal of Modern Education and Computer Science. 7(11). 35–52. 1 indexed citations
18.
Nehra, Vijay. (2014). MATLAB/Simulink Based Study of Different Approaches Using Mathematical Model of Differential Equations. International Journal of Intelligent Systems and Applications. 6(5). 1–24. 5 indexed citations
19.
Goel, Tripti, Vijay Nehra, & Virendra P. Vishwakarma. (2011). Comparative Analysis of various Illumination Normalization Techniques for Face Recognition. International Journal of Computer Applications. 28(9). 1–7. 8 indexed citations
20.
Nehra, Vijay & Kiran Nehra. (2005). ICT: A New Horizon in Indian Agriculture. IETE Technical Review. 22(5). 395–400. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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